人工肌肉
执行机构
PID控制器
软机器人
超调(微波通信)
联轴节(管道)
机器人学
控制器(灌溉)
控制理论(社会学)
控制工程
气动人工肌肉
机电一体化
温度控制
计算机科学
控制系统
机械工程
材料科学
人工智能
工程类
复合数
自适应控制
趋同(经济学)
芯(光纤)
振动控制
人工神经网络
失真(音乐)
作者
Yali Han,Xiaopeng Zheng,Yang Li,Junjie Wang,Yu Zhao,Xiang Zhou,Zunfeng Liu
摘要
Electrothermal polymer artificial muscles are increasingly popular in soft robotics due to their high load‐to‐weight ratio and cost‐effectiveness. However, current control strategies for these actuators mostly rely on traditional proportional integral derivative (PID) control or single‐dimensional closed‐loop control. These methods can mitigate the adverse effects of the inherent hysteresis, nonlinearity, and temperature–force angle coupling of these actuators somewhat, but fail to effectively meet the precision requirements of specialized applications. To address these challenges, a temperature self‐sensing‐driven hierarchical closed‐loop fractional‐order proportional integral derivative (FOPID) control scheme is designed. It leverages nickel wire's resistance‐temperature characteristics for real‐time temperature self‐sensing, eliminating the need for external sensors; its hierarchical structure prioritizes temperature control followed by angle regulation to mitigate coupling effects; and the FOPID controller outperforms traditional PID with smaller overshoot and faster convergence to manage nonlinearity. Based on this control scheme, an artificial muscle is fabricated using polyethylene and silver‐plated nylon (PE@SPN). To enhance deformation and output force, single PE@SPN fibers are combined in series–parallel to form composite artificial muscles. A rehabilitation manipulator is developed based on these composite artificial muscles, with a closed‐loop control algorithm implemented via temperature self‐sensing and FOPID as the core control strategy, demonstrating the engineering application value of PE@SPN artificial muscles.
科研通智能强力驱动
Strongly Powered by AbleSci AI